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The structure of cytochrome c₅₅₅ from the green sulfur bacterium Chlorobium thiosulfatophilum was determined by using a single isomorphous derivative, K₂HgI₄, in combination with its anomalous signal. The initial 2.25 angstrom map was modified by the technique of Fourier inversion. The smoothing function for the electron density map addressed three different features in the map, the solvent density, the protein density and the volume surrounding the heavy atom binding sites known to contain spurious peaks. This structure determination was undertaken for three reasons. First, Chlorobium thiosulfatophilum is a very primitive sulfur metabolizing bacterium and so its cytochrome c₅₅₅ structure is important for its evolutionary implications. Second, the oxidation-reduction potential of cytochrome c₅₅₅ is significantly different from the oxidation-reduction potential of other cytochromes whose structures have been determined. Comparisons with the other structures would provide information concerning the factors that are important in regulating oxidation-reduction potentials. Finally, the three dimensional structure may aid in explaining the pattern of reactivity cytochrome c₅₅₅ displays with mitochondrial cytochrome c oxidase and reductase, which is reversed when compared to other bacterial c-type cytochromes. The resulting structure contains three alpha helices. These features are consistent with other c-type cytochrome molecules previously determined. Two regions of the map appear to be disordered and are difficult to interpret. Possible causes of this observation are discussed and related to the significance of the structure.

Annual tree-ring width of Southwestern conifers growing on dry sites exhibits sensitivity to variation in climatically created moisture stress. Douglas-fir, ponderosa pine, and pinyon in the eastern San Juan Basin in northwestern New Mexico and southwestern Colorado were sampled at four sites to investigate covariation of climate with intra-annual anatomy. The sites possessed characteristics that created different amounts of physiological stress in trees. Increment borer samples were glued into wooden mounts and machined to approximately 1.0 mm thickness by a special router-planer. All samples were crossdated by comparing climatically controlled synchronous patterns of ring widths. Moving slit X-ray densitometry (at Forintek Canada Corporation Western Forest Products Laboratory, Vancouver, British Columbia) objectively defined the earlywood zone (large, low density cells) and latewood zone (smaller, denser cells formed late in the growing season) in each ring. The densitometer measured eight parameters for each ring: ring, earlywood, and latewood width, minimum and maximum density, and mean ring, earlywood, and latewood density. Individual radial series were standardized (i.e, transformed to indices with 1.0 mean and homogeneous variance) by fitting curves and dividing annual values by the corresponding curve values. Density series proved more difficult to standardize than widths and usually correlated more poorly among individual radii of the same data data type. Statistical characteristics of site summary density chronologies differed from width chronologies. Response functions using monthly mean temperature and total precipitation showed climate influenced all data types. Low moisture stress increased ring, earlywood, and latewood width and ring, maximum, and latewood density. High moisture stress increased minimum and early— wood density. No width or density type consistently covaried more than any other with climate. Linkage of climatic variation with density parameters differed considerably from that reported in the literature for conifers growing in wetter, cooler climates. Southwestern conifers posed unique densitometric technical difficulties. Selection of sites that caused moderate physiological stress and samples with few missing rings proved critical. Acquisition of density data required much more time and effort than optical measurement of ring width, but yielded valuable intra—annual data. Intra—annual densitometric data hold great promise for reconstruction of seasonal paleoclimate.

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